Digital Human Modeling and Medicine: The Digital Twin explores the body of knowledge and state-of-the-art in Digital Human Modeling (DHM) and its applications in medicine. DHM is the science of representing humans with their physical properties, characteristics and behaviors in computerized, virtual models. These models can be used standalone or integrated with other computerized object design systems to both design or study designs of medical devices or medical device products and their relationship with humans. They serve as fast and cost-efficient computer-based tools for the assessment of human functional systems and human-system interaction.
This book provides an industry first introductory and practitioner focused overview of human simulation tools, with detailed chapters describing body functional elements and organs, organ interactions and fields of application. Thus, DHM tools and a specific scientific/practical problem – functional study of the human body – are linked in a coherent framework. Eventually the book shows how DHM interfaces with common physical devices in medical practice, answering to a gap in literature and a common practitioner question. Case studies provide the applied knowledge for practitioners to make informed decisions.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iii 6. Contributors - p. xxiii 7. Section 1: Modeling methods - p. xxx 8. Chapter 1. From the visible human project to the digital twin - p. 3 9. Chapter 2. Massive data probabilistic framework for parameter estimation in biological problems - p. 19 10. Chapter 3. Deep learning applied to detection of the vulnerable atherosclerotic plaque - p. 63 11. Chapter 4. Computational stability of human musculoskeletal systems - p. 85 12. Chapter 5. Techniques for automatic landmark detection of human tissue - p. 107 13. Chapter 6. Multibody modeling of the musculoskeletal system - p. 121 14. Chapter 7. AnyBody modeling system - p. 143 15. Chapter 8. The NEUROiD neuromusculoskeletal movement simulation platform - p. 161 16. Chapter 9. HumMod: a modeling environment for the simulation of integrative human physiology - p. 199 17. Section 2: Organs - p. 209 18. Chapter 10. Computational biomechanics as a tool to improve surgical procedures for Uterine Prolapse - p. 213 19. Chapter 11. Computational Modeling of aerosol particle transport and deposition in the healthy and stented human airways considering different breathing conditions and particle sizes - p. 227 20. Chapter 12. Ultrafine particle transport to the lower airways: airway diameter reduction effects - p. 253 21. Aerosolized airborne bacteria and viruses inhalation: Micro-bioaerosols deposition effects through upper nasal airway inhalation - p. 275 22. Numerical simulation of the aortic arch behavior - p. 289 23. Chapter 15. Modern placental imaging methods - p. 305 24. Section 3: Foot digital twin and in silico clinical applications - p. 320 25. Chapter 16. Foot digital twin and in silico clinical applications - p. 331 26. Chapter 17. Flow processes occurring within the body but still external to the body's epithelial layer (gastrointestinal and respiratory tracts) - p. 361 27. Chapter 18. Digital modeling of the jaws for the evaluation of mandibular reconstruction techniques - p. 425 28. Chapter 19. Cornea digital twins for studying the critical role of mechanics in physiology, pathology and surgical repair - p. 443 29. Chapter 20. Influence of fluid–structure interaction on human corneal biomechanics under air puff non-contact tonometry - p. 465 30. Section 4: Biomedicine - p. 486 31. Chapter 21. Digital twins for understanding the mechanical adaptation of bone in disease and postsurgery - p. 493 32. Chapter 22. Bone strength, bone remodeling, and Biomechanics of fracture - p. 515 33. Chapter 23. Single-cell based models for cell–cell and cell–extracellular matrix interactions - p. 547 34. Chapter 24. Flow and remodeling processes occurring within the body proper - p. 591 35. Section 5: Medical devices - p. 646 36. Chapter 25. Digital co-creation: an early-stage product individualization framework to bridge the customer–designer void - p. 659 37. Chapter 26. Implant design on virtual digital human skull models for the creation of customized Patient-specific regenerative implants: biomechanical consideration - p. 679 38. Chapter 27. Virtual reality–assisted treatment planning, patient management, and educational approaches in dentistry - p. 693 39. Section 6: Medical application - p. 706 40. Chapter 28. Whole-body movement modeling in realistic environments for understanding performance and injury - p. 709 41. Chapter 29. Digital human modeling in cleft care - p. 767 42. Chapter 30. The virtual patient model for correction of facial deformity and accuracy of simulation and surgical guide construction - p. 783 43. Chapter 31. Patient-specific modeling of pain progression: a use case on knee osteoarthritis patients using machine learning algorithms - p. 805 44. Chapter 32. A design procedure for the development of VR platforms for the rehabilitation of patients after stroke - p. 829 45. Chapter 33. Personalization for surgical implants - p. 849 46. Index - p. 875
Digital Human Modeling and Medicine: The Digital Twin explores the body of knowledge and state-of-the-art in Digital Human Modeling (DHM) and its applications in medicine. DHM is the science of representing humans with their physical properties, characteristics and behaviors in computerized, virtual models. These models can be used standalone or integrated with other computerized object design systems to both design or study designs of medical devices or medical device products and their relationship with humans. They serve as fast and cost-efficient computer-based tools for the assessment of human functional systems and human-system interaction.
This book provides an industry first introductory and practitioner focused overview of human simulation tools, with detailed chapters describing body functional elements and organs, organ interactions and fields of application. Thus, DHM tools and a specific scientific/practical problem – functional study of the human body – are linked in a coherent framework. Eventually the book shows how DHM interfaces with common physical devices in medical practice, answering to a gap in literature and a common practitioner question. Case studies provide the applied knowledge for practitioners to make informed decisions.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iii 6. Contributors - p. xxiii 7. Section 1: Modeling methods - p. xxx 8. Chapter 1. From the visible human project to the digital twin - p. 3 9. Chapter 2. Massive data probabilistic framework for parameter estimation in biological problems - p. 19 10. Chapter 3. Deep learning applied to detection of the vulnerable atherosclerotic plaque - p. 63 11. Chapter 4. Computational stability of human musculoskeletal systems - p. 85 12. Chapter 5. Techniques for automatic landmark detection of human tissue - p. 107 13. Chapter 6. Multibody modeling of the musculoskeletal system - p. 121 14. Chapter 7. AnyBody modeling system - p. 143 15. Chapter 8. The NEUROiD neuromusculoskeletal movement simulation platform - p. 161 16. Chapter 9. HumMod: a modeling environment for the simulation of integrative human physiology - p. 199 17. Section 2: Organs - p. 209 18. Chapter 10. Computational biomechanics as a tool to improve surgical procedures for Uterine Prolapse - p. 213 19. Chapter 11. Computational Modeling of aerosol particle transport and deposition in the healthy and stented human airways considering different breathing conditions and particle sizes - p. 227 20. Chapter 12. Ultrafine particle transport to the lower airways: airway diameter reduction effects - p. 253 21. Aerosolized airborne bacteria and viruses inhalation: Micro-bioaerosols deposition effects through upper nasal airway inhalation - p. 275 22. Numerical simulation of the aortic arch behavior - p. 289 23. Chapter 15. Modern placental imaging methods - p. 305 24. Section 3: Foot digital twin and in silico clinical applications - p. 320 25. Chapter 16. Foot digital twin and in silico clinical applications - p. 331 26. Chapter 17. Flow processes occurring within the body but still external to the body's epithelial layer (gastrointestinal and respiratory tracts) - p. 361 27. Chapter 18. Digital modeling of the jaws for the evaluation of mandibular reconstruction techniques - p. 425 28. Chapter 19. Cornea digital twins for studying the critical role of mechanics in physiology, pathology and surgical repair - p. 443 29. Chapter 20. Influence of fluid–structure interaction on human corneal biomechanics under air puff non-contact tonometry - p. 465 30. Section 4: Biomedicine - p. 486 31. Chapter 21. Digital twins for understanding the mechanical adaptation of bone in disease and postsurgery - p. 493 32. Chapter 22. Bone strength, bone remodeling, and Biomechanics of fracture - p. 515 33. Chapter 23. Single-cell based models for cell–cell and cell–extracellular matrix interactions - p. 547 34. Chapter 24. Flow and remodeling processes occurring within the body proper - p. 591 35. Section 5: Medical devices - p. 646 36. Chapter 25. Digital co-creation: an early-stage product individualization framework to bridge the customer–designer void - p. 659 37. Chapter 26. Implant design on virtual digital human skull models for the creation of customized Patient-specific regenerative implants: biomechanical consideration - p. 679 38. Chapter 27. Virtual reality–assisted treatment planning, patient management, and educational approaches in dentistry - p. 693 39. Section 6: Medical application - p. 706 40. Chapter 28. Whole-body movement modeling in realistic environments for understanding performance and injury - p. 709 41. Chapter 29. Digital human modeling in cleft care - p. 767 42. Chapter 30. The virtual patient model for correction of facial deformity and accuracy of simulation and surgical guide construction - p. 783 43. Chapter 31. Patient-specific modeling of pain progression: a use case on knee osteoarthritis patients using machine learning algorithms - p. 805 44. Chapter 32. A design procedure for the development of VR platforms for the rehabilitation of patients after stroke - p. 829 45. Chapter 33. Personalization for surgical implants - p. 849 46. Index - p. 875
